Image Capture Subject Blur Prediction Using Preparatory Frames
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Solution Overview
Problem
Existing image capturing technologies fail to provide appropriate frame rates and shutter speeds for detecting slight subject motion, especially in low-light conditions, leading to inadequate notification of subject blur in captured images.
Innovation Solution
An information processing apparatus that acquires multiple first captured images, estimates motion blur in subsequent images using independent parameters, and notifies the user about potential motion blur by superimposing notification images on the captured frames.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Illumination intensity
If long exposure time is used to capture images in low-light conditions, then image brightness is improved, but subject blur increases due to slight shake or motion
Solution Approach 1:
The system performs preparatory image capturing at a high frame rate before main image capturing to detect subject motion in advance. By analyzing motion information from multiple preparatory frames, the system can predict subject movement during the long exposure period, allowing users to adjust settings or retake images before subject blur occurs in the final captured image.
2Manufacturing precision
If high shutter speed is used to reduce motion blur, then subject sharpness is improved, but image brightness decreases due to less light collection
Solution Approach 1:
The system changes the frame rate parameter of preparatory image capturing based on the shutter speed setting for main image capturing. When a slow shutter speed is selected for low-light conditions, the system increases the preparatory frame rate to detect subtle subject motion. This dynamic parameter adjustment allows the system to optimize motion detection sensitivity matching the specific exposure conditions.
3Measurement precision
If frame rate is increased to detect slight subject motion, then measurement precision of motion is improved, but use of energy increases
Solution Approach 1:
The system dynamically adjusts the frame rate of preparatory image capturing based on the selected shutter speed for main image capturing. When a slow shutter speed is chosen (requiring better motion detection), the system increases the preparatory frame rate. When a fast shutter speed is selected (where motion detection is less critical), the system reduces the preparatory frame rate. This dynamic adaptation optimizes energy consumption while maintaining adequate motion detection accuracy for each shooting scenario.
Data Source
AI summary
An information processing apparatus includes an acquisition unit configured to acquire a plurality of first captured images captured by first image capturing using a first image capturing parameter and to acquire motion information about a subject in the plurality of first captured images, an estimation unit configured to estimate a motion blur of the subject in a second captured image captured by second image capturing based on a second image capturing parameter for the second image capturing to be performed using the second image capturing parameter, a setting unit configured to set the first image capturing parameter and the second image capturing parameter. The acquisition unit acquires the motion information from the plurality of first captured images captured using the first image capturing parameter changed so that the changed first image capturing parameter corresponds to an exposure time for the second image capturing relating to the second image capturing parameter.